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fanghou

于 2016-05-04 发布 文件大小:7KB
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代码说明:

  基于欧几里得距离的聚类分析,未来线路预测,分析误差,阐述了负荷预测的应用研究。( Clustering analysis based on Euclidean distance, Future line prediction, error analysis, It describes the application of load forecasting.)

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fanghou.m,13191,2016-05-04

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  • 1
    说明:  将白噪声和瑞丽分布的噪声模拟为信号的背景噪声,分别通过小波去噪,EMD去噪,EMD结合小波去噪的方法来进行背景噪声去噪分析。(Ruili, the distribution of white noise and the noise modeled as background noise signals, respectively, through the Wavelet denoising, EMD denoising, EMD combined with wavelet denoising approach to denoising of background noise.)
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    积分:1
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    2013-12-18 18:03:57下载
    积分:1
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    说明:  求极大值的程序,本人对它进行了一定的修改。(Procedures for seeking a great value, I had some changes to it.)
    2010-04-30 09:51:41下载
    积分:1
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    2011-04-24 12:38:28下载
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  • rtejfgds
    现有的代数特征的抽取方法绝大多数采用一维的方法,即首先将图像转换为一维向量,再用主分量分析(PCA),Fisher线性鉴别分析(LDA),Fisherfaces式核主分量分析(KPCA)等方法抽取特征,然后用适合的分类器分类。针对一维方法维数过高,计算量大,协方差矩阵常常是奇异矩阵等不足,提出了二维的图像特征抽取方法,计算量小,协方差矩阵一般是可逆的,且识别率较高。(existing algebra feature extraction method using a majority of the peacekeepers, First images will be converted into one-dimensional vector, and then principal component analysis (PCA), Fisher Linear Discriminant Analysis (LDA), Fisherfaces audits principal component analysis (KPCA), and other selected characteristics, then use the appropriate classification for classification. Victoria against an excessive dimension method, calculation, covariance matrix is often inadequate singular matrix, a two-dimensional image feature extraction method, a small amount of covariance matrix is usually reversible, and the recognition rate higher.)
    2020-08-14 13:28:28下载
    积分:1
  • 目标定位
    说明:  研究目标跟踪的状态估计方法,最小二乘估计,Kalman滤波,扩展Kalman滤波,无迹Kalman滤波以及粒子滤波等,理论及MATLAB源程序。(The state estimation methods of target tracking, least square estimation, Kalman filtering, extended Kalman filtering, unscented Kalman filtering and particle filtering, theory and MATLAB source program are studied.)
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    积分:1
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    2009-04-04 17:00:15下载
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    二维光子晶体的FDTD法,MATLAB 源程序(Two-dimensional photonic crystals FDTD method, MATLAB source code)
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